EU regions (NUTS 2) by age-standardised death rate, all causes
Severozapaden had the highest age-standardised death rate, all causes of 234 regions in 2016, at 1,741.6 per 100,000 people. Community of Madrid had the lowest, at 710.5 per 100,000 people. The median was 982 per 100,000 people and the figure for the European Union (27) was 999.1 per 100,000 people. Source: Eurostat, European Commission.
Top 40 regions, 2016
Full ranking
| Rank | Regions | 2016 | Change on 2015 |
|---|---|---|---|
| 1 | Severozapaden | 1,741.6 | -32.5 pts |
| 2 | Severen tsentralen | 1,658.9 | -87.6 pts |
| 3 | Yugoiztochen | 1,623.1 | -82.8 pts |
| 4 | Severoiztochen | 1,619.7 | -63.2 pts |
| 5 | Észak-Magyarország | 1,578.9 | -56.8 pts |
| 6 | Vest | 1,551 | -85.4 pts |
| 7 | Yuzhen tsentralen | 1,546.5 | -63.7 pts |
| 8 | Yugozapaden | 1,518.2 | -38.5 pts |
| 9 | Sud-Est | 1,512.3 | -16.9 pts |
| 10 | Nord-Vest | 1,501.1 | -84.3 pts |
| 11 | Sud-Muntenia | 1,500 | -27 pts |
| 12 | Nord-Est | 1,497.7 | -41.5 pts |
| 13 | Észak-Alföld | 1,493 | -59.2 pts |
| 14 | Latvija | 1,476.7 | -12.7 pts |
| 15 | Közép-Dunántúl | 1,468.2 | -102.8 pts |
| 16 | Vidurio ir vakarų Lietuvos regionas | 1,464.2 | -33.9 pts |
| 17 | Região Autónoma dos Açores | 1,455.9 | +23 pts |
| 18 | Dél-Dunántúl | 1,448.2 | -97.6 pts |
| 19 | Dél-Alföld | 1,442.4 | -94.7 pts |
| 20 | Pest | 1,435 | -98 pts |
| 21 | Sud-Vest Oltenia | 1,433.2 | -103.7 pts |
| 22 | Sostinės regionas | 1,418.4 | -36.8 pts |
| 23 | Centru | 1,416.1 | -59 pts |
| 24 | Nyugat-Dunántúl | 1,400.6 | -53 pts |
| 25 | Bucureşti-Ilfov | 1,387 | -11.5 pts |
| 26 | Severozápad | 1,370.4 | -74.4 pts |
| 27 | Západné Slovensko | 1,357.9 | -44.6 pts |
| 28 | Stredné Slovensko | 1,345 | -70.8 pts |
| 29 | Mayotte | 1,342.4 | +108.5 pts |
| 30 | Łódzkie | 1,327.7 | -68.1 pts |
| 31 | Região Autónoma da Madeira | 1,318.4 | -107.4 pts |
| 32 | Moravskoslezsko | 1,303.6 | -71.5 pts |
| 33 | Mazowiecki regionalny | 1,294.8 | -36.7 pts |
| 34 | Východné Slovensko | 1,285.5 | -105.6 pts |
| 35 | Warmińsko-mazurskie | 1,278.7 | -5.6 pts |
| 36 | Śląskie | 1,258.1 | -78.8 pts |
| 37 | Lubuskie | 1,256.6 | -54.6 pts |
| 38 | Wielkopolskie | 1,236.1 | -69.7 pts |
| 39 | Zachodniopomorskie | 1,231.9 | -55.8 pts |
| 40 | Budapest | 1,228.4 | -55.3 pts |
| 41 | Kujawsko-pomorskie | 1,227.5 | -36.2 pts |
| 42 | Střední Čechy | 1,226.2 | -83.4 pts |
| 43 | Świętokrzyskie | 1,223.5 | -71.6 pts |
| 44 | Dolnośląskie | 1,222.5 | -78.8 pts |
| 45 | Jihozápad | 1,220.8 | -100.3 pts |
| 46 | Jadranska Hrvatska | 1,219 | -72.9 pts |
| 47 | Eesti | 1,206.9 | -29.9 pts |
| 48 | Lubelskie | 1,199.3 | -62.7 pts |
| 49 | Střední Morava | 1,199 | -72.2 pts |
| 50 | Pomorskie | 1,195.7 | -24 pts |
| 51 | Bratislavský kraj | 1,191.3 | -41.4 pts |
| 52 | Opolskie | 1,186.5 | -97.8 pts |
| 53 | Podlaskie | 1,172.9 | -26.3 pts |
| 54 | Severovýchod | 1,171.2 | -80.4 pts |
| 55 | Prov. Hainaut | 1,153.3 | -29.4 pts |
| 56 | Podkarpackie | 1,147.8 | -50.3 pts |
| 57 | Małopolskie | 1,140.1 | -58.9 pts |
| 58 | Jihovýchod | 1,131.5 | -70.4 pts |
| 59 | Sachsen-Anhalt | 1,109.5 | -58.3 pts |
| 60 | Arnsberg | 1,098.5 | -37.9 pts |
| 61 | Vzhodna Slovenija | 1,097 | -26.6 pts |
| 62 | Warszawski stołeczny | 1,085.8 | -28 pts |
| 63 | Saarland | 1,083.9 | -62.6 pts |
| 64 | Prov. Liège | 1,083 | -50.8 pts |
| 65 | Praha | 1,082.5 | -43.8 pts |
| 66 | Prov. Namur | 1,080 | -55 pts |
| 67 | Mecklenburg-Vorpommern | 1,076.9 | -25.9 pts |
| 68 | Algarve | 1,073.8 | +70.1 pts |
| 69 | Weser-Ems | 1,069.5 | -12.4 pts |
| 70 | Prov. Luxembourg (BE) | 1,069.2 | +4 pts |
| 71 | Sjælland | 1,068.8 | -5.4 pts |
| 72 | Thüringen | 1,068.8 | -47.9 pts |
| 73 | Düsseldorf | 1,061.3 | -41.7 pts |
| 74 | Braunschweig | 1,058.6 | -18.3 pts |
| 75 | Oberfranken | 1,051.3 | -60.9 pts |
| 76 | Koblenz | 1,051.2 | -20.3 pts |
| 77 | Southern | 1,050.1 | +20.3 pts |
| 78 | Lüneburg | 1,049.9 | -17.7 pts |
| 79 | Oberpfalz | 1,049 | -58.6 pts |
| 80 | Groningen | 1,047.4 | +1.1 pts |
| 81 | Schleswig-Holstein | 1,046.4 | -19.7 pts |
| 82 | Niederbayern | 1,046 | -66.3 pts |
| 83 | Bremen | 1,044.7 | -27.9 pts |
| 84 | Brandenburg | 1,043.6 | -36.6 pts |
| 85 | Münster | 1,040.1 | -18 pts |
| 86 | Nordjylland | 1,037.7 | -18.3 pts |
| 87 | Chemnitz | 1,037.2 | -40.8 pts |
| 88 | Hovedstaden | 1,031.9 | -13.3 pts |
| 89 | Hannover | 1,029.1 | -45.9 pts |
| 90 | Anatoliki Makedonia, Thraki | 1,026.3 | -57.5 pts |
| 91 | Kassel | 1,025.2 | -43.2 pts |
| 92 | Mittelfranken | 1,019.2 | -56.9 pts |
| 93 | Gießen | 1,018.1 | -61.8 pts |
| 94 | Pohjois- ja Itä-Suomi | 1,017.3 | +5.2 pts |
| 95 | Leipzig | 1,016.1 | -39 pts |
| 96 | Ionia Nisia | 1,013.1 | -71.7 pts |
| 97 | Köln | 1,012.6 | -38.7 pts |
| 98 | Trier | 1,007.4 | -51 pts |
| 99 | Mellersta Norrland | 1,005.2 | -56 pts |
| 100 | Friesland (NL) | 1,004.3 | +13.9 pts |
| 101 | Detmold | 1,001.7 | -10.8 pts |
| 102 | Nord-Pas de Calais | 1,000.2 | -33 pts |
| 103 | Overijssel | 997.3 | -8.4 pts |
| 104 | Berlin | 996.5 | -34.8 pts |
| 105 | Drenthe | 994.1 | +2.3 pts |
| 106 | Noord-Brabant | 991.1 | -11.3 pts |
| 107 | Niederösterreich | 990.7 | -39.3 pts |
| 108 | Burgenland | 988.8 | -45.8 pts |
| 109 | Rheinhessen-Pfalz | 987.8 | -63 pts |
| 110 | Kentriki Makedonia | 987.3 | -41.8 pts |
| 111 | Syddanmark | 987.1 | -22.6 pts |
| 112 | Övre Norrland | 987 | -27.5 pts |
| 113 | Åland | 985.1 | +33.7 pts |
| 114 | Etelä-Suomi | 984.7 | +18.2 pts |
| 115 | Campania | 984 | -76.3 pts |
| 116 | Limburg (NL) | 983.4 | -48.6 pts |
| 117 | Hamburg | 982.4 | -32.8 pts |
| 118 | Noord-Holland | 981.7 | -8.6 pts |
| 119 | Melilla | 979.9 | -106.7 pts |
| 120 | Karlsruhe | 977 | -26.4 pts |
| 121 | Dytiki Elláda | 975.7 | -48.5 pts |
| 122 | Ceuta | 974.8 | +1.6 pts |
| 123 | Norte | 973.6 | +2.1 pts |
| 124 | Flevoland | 973.3 | +6.8 pts |
| 125 | Picardie | 972.3 | -22.9 pts |
| 126 | Gelderland | 969.8 | -10.5 pts |
| 127 | Midtjylland | 968.5 | -22.4 pts |
| 128 | Unterfranken | 967.6 | -60.9 pts |
| 129 | Attiki | 967.2 | -39 pts |
| 130 | Kýpros | 966.2 | -81.3 pts |
| 131 | Länsi-Suomi | 962.6 | +11.4 pts |
| 132 | Norra Mellansverige | 961.8 | -44.4 pts |
| 133 | Wien | 959.8 | -50.6 pts |
| 134 | Dresden | 957.6 | -51.1 pts |
| 135 | Schwaben | 951.6 | -44.7 pts |
| 136 | Darmstadt | 951 | -65.2 pts |
| 137 | Thessalia | 949.1 | -14.9 pts |
| 138 | Northern and Western | 945 | -14.1 pts |
| 139 | Région de Bruxelles-Capitale/ Brussels Hoofdstedelijk Gewest | 944.6 | -36.1 pts |
| 140 | Andalusia | 942.5 | -60 pts |
| 141 | Notio Aigaio | 941.6 | -30.6 pts |
| 142 | Freiburg | 939 | -36.1 pts |
| 143 | Kärnten | 937.7 | -35.8 pts |
| 144 | Eastern and Midland | 936.1 | -51.7 pts |
| 145 | Helsinki-Uusimaa | 936 | -6.2 pts |
| 146 | Steiermark | 930.4 | -58.5 pts |
| 147 | Stuttgart | 929.2 | -43.2 pts |
| 148 | La Réunion | 926.8 | -9.1 pts |
| 149 | Voreio Aigaio | 924.4 | -51.1 pts |
| 150 | Tübingen | 923.9 | -45.8 pts |
| 151 | Sterea Elláda | 923.8 | -34.5 pts |
| 152 | Lorraine | 923.6 | -25.8 pts |
| 153 | Kriti | 917.6 | -51 pts |
| 154 | Östra Mellansverige | 916.2 | -0.1 pts |
| 155 | Oberösterreich | 915.8 | -73.4 pts |
| 156 | Champagne-Ardenne | 915.2 | -26.6 pts |
| 157 | Sicilia | 913.3 | -76.8 pts |
| 158 | Prov. Oost-Vlaanderen | 912.2 | -56.2 pts |
| 159 | Sydsverige | 908.6 | +1 pts |
| 160 | Dytiki Makedonia | 908.4 | -78.1 pts |
| 161 | Prov. Antwerpen | 907.7 | -43.2 pts |
| 162 | Zahodna Slovenija | 905.7 | -27.3 pts |
| 163 | Luxembourg | 904.7 | -25.4 pts |
| 164 | Haute-Normandie | 904.6 | -32.2 pts |
| 165 | Prov. Brabant wallon | 904.6 | -70.2 pts |
| 166 | Oberbayern | 904.3 | -48.5 pts |
| 167 | Västsverige | 902.9 | -1.6 pts |
| 168 | Peloponnisos | 901.5 | -84.4 pts |
| 169 | Extremadura | 899 | -34.7 pts |
| 170 | Bretagne | 890.5 | -4.3 pts |
| 171 | Zeeland | 889.5 | -26 pts |
| 172 | Asturias | 887.7 | -30 pts |
| 173 | Guyane | 885.8 | -34.4 pts |
| 174 | Region of Murcia | 883.3 | -59.5 pts |
| 175 | Malta | 881.8 | -65.7 pts |
| 176 | Småland med öarna | 880.1 | -30.3 pts |
| 177 | Prov. Limburg (BE) | 878 | -42.8 pts |
| 178 | Prov. Vlaams-Brabant | 874.5 | -31.9 pts |
| 179 | Auvergne | 871.3 | -24.3 pts |
| 180 | Canary Islands | 871 | -37.5 pts |
| 181 | Calabria | 869.2 | -60.3 pts |
| 182 | Valle d’Aosta/Vallée d’Aoste | 866.5 | -99.3 pts |
| 183 | Bourgogne | 864.4 | -23.7 pts |
| 184 | Valencian Community | 863.5 | -54 pts |
| 185 | Prov. West-Vlaanderen | 863.1 | -43.2 pts |
| 186 | Salzburg | 863 | -29.5 pts |
| 187 | Basilicata | 862.8 | -54 pts |
| 188 | Tirol | 859.7 | -53.4 pts |
| 189 | Basse-Normandie | 859.6 | -12.9 pts |
| 190 | Stockholm | 859.5 | -12.9 pts |
| 191 | Limousin | 859 | -35.9 pts |
| 192 | Vorarlberg | 855.4 | -30.1 pts |
| 193 | Piemonte | 853.9 | -65.4 pts |
| 194 | Alsace | 853.6 | -44.1 pts |
| 195 | Lazio | 849.9 | -50.6 pts |
| 196 | Franche-Comté | 844 | -19.8 pts |
| 197 | Abruzzo | 837.9 | -50.4 pts |
| 198 | Centre - Val de Loire | 837.3 | -25.4 pts |
| 199 | Languedoc-Roussillon | 836.7 | -15.6 pts |
| 200 | Galicia | 836.2 | -12 pts |
| 201 | Balearic Islands | 834.5 | -64.1 pts |
| 202 | Puglia | 830.3 | -72.1 pts |
| 203 | Liguria | 827.8 | -66.1 pts |
| 204 | Cantabria | 826.7 | -31.3 pts |
| 205 | Poitou-Charentes | 826.2 | -13.5 pts |
| 206 | Castilla-La Mancha | 826 | -46 pts |
| 207 | Sardegna | 825.2 | -46.9 pts |
| 208 | Ipeiros | 817.8 | -54.8 pts |
| 209 | Emilia-Romagna | 816.4 | -38.1 pts |
| 210 | Martinique | 815.5 | +39.1 pts |
| 211 | Friuli-Venezia Giulia | 815.3 | -52.5 pts |
| 212 | Molise | 810.2 | -90.3 pts |
| 213 | Veneto | 807.5 | -45.8 pts |
| 214 | Toscana | 806.6 | -62.9 pts |
| 215 | Pays de la Loire | 803.9 | -31 pts |
| 216 | Provence-Alpes-Côte d’Azur | 802.7 | -26.5 pts |
| 217 | Lombardia | 802.3 | -56.8 pts |
| 218 | Umbria | 800.6 | -39.6 pts |
| 219 | Catalonia | 800.1 | -39.3 pts |
| 220 | Basque Country | 799.2 | -30.5 pts |
| 221 | Aragon | 798.8 | -61.8 pts |
| 222 | Aquitaine | 796.9 | -35.4 pts |
| 223 | Marche | 794 | -55.4 pts |
| 224 | Corse | 781.4 | -27.6 pts |
| 225 | Navarre | 781.1 | -11.1 pts |
| 226 | Midi-Pyrénées | 779.2 | -20.6 pts |
| 227 | Guadeloupe | 776.7 | +48.9 pts |
| 228 | Provincia Autonoma di Bolzano/Bozen | 775.7 | -31.8 pts |
| 229 | La Rioja | 772.4 | -47.4 pts |
| 230 | Rhône-Alpes | 770.7 | -31.9 pts |
| 231 | Castile and León | 761.9 | -31.7 pts |
| 232 | Provincia Autonoma di Trento | 755.7 | -37.5 pts |
| 233 | Ile-de-France | 745.1 | -18.4 pts |
| 234 | Community of Madrid | 710.5 | -51.6 pts |
Other periods
About this ranking
Deaths from [object Object] (ICD-10 A00 to Y89) per 100,000 inhabitants, age-standardised to the revised European Standard Population of 2013. Both sexes, all ages, by place of residence (Eurostat causes of death statistics).
For 2018 to 2021 Eurostat publishes the total under the code A-R_V-Y (all causes excluding S00 to T98, injury codes that are never an underlying cause); Invokely serves both codes as one series. For deaths per 1,000 people without age standardisation use crude_death_rate. Age standardisation removes the effect of different age structures, so EU countries and regions can be compared with each other. US age-adjusted rates use the 2000 US standard population and are not comparable with these. Death certification and cause coding differ between countries, and Eurostat flags some values as following a different definition. Eurostat publishes these rates about two and a half years after the reference year.
Every value in the ranking comes from the same publisher and the same period, so the regions are compared on one definition. 10 regions with data in other periods have no value for 2016 and are left out rather than filled from another source. Equal values share a rank.
How to cite
Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 TOTAL (hlth_cd_asdr2). https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Retrieved 2026-10-12.
Citation styles
APA 7
Eurostat, European Commission. (2026). Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 TOTAL (hlth_cd_asdr2) (EU regions (NUTS 2) by age-standardised death rate, all causes, 2016) [Data set]. Retrieved October 12, 2026, from https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table
MLA 9
Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 TOTAL (hlth_cd_asdr2), EU regions (NUTS 2) by age-standardised death rate, all causes, 2016. Eurostat, European Commission, 8 June 2026, https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Invokely, https://invokely.ai/rankings/standardised-death-rate/eu-regions?period=2016. Accessed 12 Oct. 2026.
Chicago (author-date)
Eurostat, European Commission. 2026. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 TOTAL (hlth_cd_asdr2). EU regions (NUTS 2) by age-standardised death rate, all causes, 2016. Dataset. Accessed October 12, 2026. https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Also distributed by Invokely, https://invokely.ai/rankings/standardised-death-rate/eu-regions?period=2016.
Harvard
Eurostat, European Commission (2026) Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 TOTAL (hlth_cd_asdr2), EU regions (NUTS 2) by age-standardised death rate, all causes, 2016 [Dataset]. Available at: https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table, via Invokely: https://invokely.ai/rankings/standardised-death-rate/eu-regions?period=2016 (Accessed: 12 October 2026).
BibTeX
@misc{eurostat_eu_regions_nuts_2_2016,
author = {{Eurostat, European Commission}},
title = {{Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 TOTAL (hlth\_cd\_asdr2): EU regions (NUTS 2) by age-standardised death rate, all causes, 2016}},
year = {2026},
howpublished = {Data set},
url = {https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table},
urldate = {2026-10-12},
note = {Accessed via Invokely, https://invokely.ai/rankings/standardised-death-rate/eu-regions?period=2016. Publisher attribution: Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 TOTAL (hlth\_cd\_asdr2). https://ec.europa.eu/eurostat/databrowser/view/hlth\_cd\_asdr2/default/table. Retrieved 2026-10-12.},
}
RIS
TY - DATA
AU - Eurostat, European Commission
TI - Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 TOTAL (hlth_cd_asdr2): EU regions (NUTS 2) by age-standardised death rate, all causes, 2016
PY - 2026
DA - 2026/06/08
PB - Eurostat, European Commission
DB - Invokely
UR - https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table
L2 - https://invokely.ai/rankings/standardised-death-rate/eu-regions?period=2016
Y2 - 2026/10/12
N1 - Accessed via Invokely, https://invokely.ai/rankings/standardised-death-rate/eu-regions?period=2016.
N1 - Publisher attribution: Eurostat. Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 TOTAL (hlth_cd_asdr2). https://ec.europa.eu/eurostat/databrowser/view/hlth_cd_asdr2/default/table. Retrieved 2026-10-12.
ER -
Use this data in your AI agent
Invokely serves this figure to AI assistants through MCP and to code through a REST API, with the source and citation attached. Ask your assistant:
Rank EU regions by age-standardised death rate, all causes using official data, and cite the source.
rank_places {"indicator":"standardised_death_rate_all_causes","level":"region","within":"European Union (27)","limit":10}
GET https://invokely.ai/api/v1/rank?indicator=standardised_death_rate_all_causes&level=region&within=European%20Union%20(27)&limit=10
Questions
Which region has the highest age-standardised death rate, all causes?
Severozapaden, with 1,741.6 per 100,000 people in 2016, according to Eurostat, European Commission.
Which region has the lowest age-standardised death rate, all causes?
Community of Madrid, with 710.5 per 100,000 people in 2016.
Where does this ranking come from?
Every value comes from one source and one period, so the places are comparable: Eurostat, European Commission, Causes of death, standardised death rate by NUTS 2 region of residence, [object Object], ICD-10 TOTAL (hlth_cd_asdr2). Retrieved 2026-10-12. 10 regions have no value for 2016 and are not ranked.
Age-standardised death rate, all causes: other rankings
EU regions (NUTS 2): more rankings
- Death rate from stroke and other cerebrovascular diseases (age-standardised)
- Physicians per 10,000 people
- Death rate from respiratory diseases (age-standardised)
- Suicide death rate (age-standardised)
- Average annual spending per person (Spain)
- Average annual household spending on transport (Spain)
- Population
- Average net income per household